At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital transformation, and we need a Senior Engineer to deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure, and Google Cloud.
Requirements
- 3+ years of experience implementing models or machine learning algorithms in production
- Experience on any of these cloud platforms (AWS, Azure, GCP)
- Experience developing models and other data science work - Python (preferred) or R
- Recognized as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques
- Ability to lead exploratory data analysis within new subject matters or new data structures
- Familiarity with Agile project delivery
- Proficiency with both Linux and Windows
Responsibilities
- Provide Machine Learning thought leadership and vision internally and to clients. Build a sense of community and encourage a culture of collaboration and curiosity
- Implement models and algorithms on multiple cloud providers
- Write in Python or other languages to deliver a wide variety of Machine Learning & Data Science solutions
- Stay abreast of new tools, packages, and Machine Learning techniques and consistently push the limit of what is possible to deliver the best solutions
- Collaborate with Product Owners to apply Slalom’s agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role
- Explains model results to technical and non-technical audiences including leading highly technical presentations
- Share project findings with the wider Machine Learning group
Other
- Willingness to travel up to 50%, at peak times
- Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
- Excellent verbal and written communication skills
- Ability to lead a team (optional)
- Quantitative graduate degree (optional)